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ORCIDAman Agarwal
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2020 – today
- 2026
[i14]Hongyang Du, Junjie Ye, Xiaoyan Cong, Runhao Li, Jingcheng Ni, Aman Agarwal, Zeqi Zhou, Zekun Li, Randall Balestriero, Yue Wang:
VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation. CoRR abs/2601.23286 (2026)- 2025
- [c13]Sizhuo Ma, Wei-Ting Chen, Qiang Gao, Jian Wang, Chris Wei Zhou, Wei Sun, Weixia Zhang, Linhan Cao, Jun Jia, Xiangyang Zhu, Dandan Zhu, Xiongkuo Min, Guangtao Zhai, Baoying Chen, Xiongwei Xiao, Jishen Zeng, Wei Wu, Tiexuan Lou, Yuchen Tan, Chunyi Song, Zhiwei Xu, MohammadAli Hamidi
, Hadi Amirpour, Mingyin Bai, Jiawang Du, Zhenyu Jiang, Zilong Lu, Ziguan Cui, Zongliang Gan, Xinpeng Li, Shiqi Jiang, Chenhui Li, Changbo Wang, Weijun Yuan, Zhan Li, Yihang Chen, Yifan Deng, Ruting Deng, Zhanglu Chen, Boyang Yao, Shuling Zheng, Feng Zhang, Zhiheng Fu, Abhishek Joshi, Aman Agarwal, Rakhil Immidisetti, Ajay Narasimha Mopidevi, Vishwajeet Shukla, Hao Yang, Ruikun Zhang, Liyuan Pan, Kaixin Deng, Hang Ouyang, Fan Yang, Zhizun Luo, Zhuohang Shi, Songning Lai, Weilin Ruan, Yutao Yue:
VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results. ICCVW 2025: 3489-3498 - [c12]Abhishek Joshi, Aman Agarwal:
RankCORE: Self-Supervised Ranking-Aware Correlation Optimized Regression for Face Image Quality Assessment. ICCVW 2025: 3507-3515 - [i13]Aman Agarwal, James Gearon, Raksha Rank, Etienne Chenevert:
Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization. CoRR abs/2504.13776 (2025) - [i12]Sizhuo Ma, Wei-Ting Chen, Qiang Gao, Jian Wang, Chris Wei Zhou, Wei Sun, Weixia Zhang, Linhan Cao, Jun Jia, Xiangyang Zhu, Dandan Zhu, Xiongkuo Min, Guangtao Zhai, Baoying Chen, Xiongwei Xiao, Jishen Zeng, Wei Wu, Tiexuan Lou, Yuchen Tan, Chunyi Song, Zhiwei Xu, MohammadAli Hamidi, Hadi Amirpour, Mingyin Bai, Jiawang Du, Zhenyu Jiang, Zilong Lu, Ziguan Cui, Zongliang Gan, Xinpeng Li, Shiqi Jiang, Chenhui Li, Changbo Wang, Weijun Yuan, Zhan Li, Yihang Chen, Yifan Deng, Ruting Deng, Zhanglu Chen, Boyang Yao, Shuling Zheng, Feng Zhang, Zhiheng Fu, Abhishek Joshi, Aman Agarwal, Rakhil Immidisetti, Ajay Narasimha Mopidevi, Vishwajeet Shukla, Hao Yang, Ruikun Zhang, Liyuan Pan, Kaixin Deng, Hang Ouyang, Fan Yang, Zhizun Luo, Zhuohang Shi, Songning Lai, Weilin Ruan, Yutao Yue:
VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results. CoRR abs/2508.18445 (2025) - 2024
- [j6]Rakesh Kumar, Meenu Gupta, Aman Agarwal, Anand Nayyar:
CBAR-UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention-based deep residual neural network. Multim. Tools Appl. 83(37): 85047-85063 (2024) - [c11]N. Praneeth, Aman Agarwal, Abhishek Toluva, Madhulika Das, STP Srinivas, Alivelu Manga Parimi:
Coordinating Numerical Relays with Voltage-Time-Current Characteristics in DG Integrated Power Networks and Implementation using FPGA. ISGT Asia 2024: 1-6 - 2023
- [j5]Aman Agarwal, Li Chen:
DeepPHiC: predicting promoter-centered chromatin interactions using a novel deep learning approach. Bioinform. 39(1) (2023) - [j4]Aman Agarwal, Fengdi Zhao, Yuchao Jiang, Li Chen:
TIVAN-indel: a computational framework for annotating and predicting non-coding regulatory small insertions and deletions. Bioinform. 39(2) (2023) - [c10]Debashreet Das, Shashank Mouli Satapathy, Ajitha D, Aman Agarwal:
Application of Hybrid Approach towards Multi Aspect Classification and Analysis of Malware. OCIT 2023: 284-289 - 2022
- [i11]Aman Agarwal:
Explain to me like I am five - Sentence Simplification Using Transformers. CoRR abs/2212.04595 (2022) - 2021
- [c9]Nishant, Kailash Kumar Jha, Avneesh Tiwari, Alok Kumar Jangid, Aman Agarwal, Nitesh Pushpak Shah, Debabrata Das:
Efficient Protocol to Optimize New Radio Frequency Scanning in 5G Network. 5GWF 2021: 52-57 - 2020
- [b1]Aman Agarwal:
Unbiased Learning-to-Rank from Logged Implicit Feedback. Cornell University, USA, 2020 - [j3]Aman Agarwal, Shimon Edelman:
Functionally Effective Conscious AI Without Suffering. J. Artif. Intell. Conscious. 7(1): 39-50 (2020) - [j2]Shishir Goyal, Aman Agarwal, Srikanta Routroy:
Comparative analysis of environment losses in steel manufacturing supply chain using Taguchi loss function and design of experiments. J. Enterp. Inf. Manag. 33(3): 684-700 (2020) - [j1]Aman Agarwal, Mamta Mittal, Akshat Pathak, Lalit Mohan Goyal:
Fake News Detection Using a Blend of Neural Networks: An Application of Deep Learning. SN Comput. Sci. 1(3): 143 (2020) - [c8]Aman Agarwal, Veena Bansal:
Exploring Sentiments of Voters through Social Media Content: A Case Study of 2017 Assembly Elections of Three States in India. ICEIS (1) 2020: 596-602 - [i10]Aman Agarwal, Shimon Edelman:
Functionally Effective Conscious AI Without Suffering. CoRR abs/2002.05652 (2020) - [i9]Aman Agarwal, Aditya Mishra, Priyanka Sharma, Swati Jain, Sutapa Ranjan, Ranjana Manchanda:
Using LSTM for the Prediction of Disruption in ADITYA Tokamak. CoRR abs/2007.06230 (2020)
2010 – 2019
- 2019
- [c7]Aman Agarwal, Kenta Takatsu, Ivan Zaitsev, Thorsten Joachims:
A General Framework for Counterfactual Learning-to-Rank. SIGIR 2019: 5-14 - [c6]Zhichong Fang, Aman Agarwal, Thorsten Joachims:
Intervention Harvesting for Context-Dependent Examination-Bias Estimation. SIGIR 2019: 825-834 - [c5]Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims:
Estimating Position Bias without Intrusive Interventions. WSDM 2019: 474-482 - [c4]Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork:
Addressing Trust Bias for Unbiased Learning-to-Rank. WWW 2019: 4-14 - [i8]Sachin Thukral, Arnab Chatterjee, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Lipika Dey:
Characterizing behavioral trends in a community driven discussion platform. CoRR abs/1911.02771 (2019) - 2018
- [c3]Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey:
Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit. ASONAM 2018: 662-669 - [i7]Aman Agarwal, Ivan Zaitsev, Thorsten Joachims:
Counterfactual Learning-to-Rank for Additive Metrics and Deep Models. CoRR abs/1805.00065 (2018) - [i6]Aman Agarwal, Ivan Zaitsev, Thorsten Joachims:
Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank. CoRR abs/1806.03555 (2018) - [i5]Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey:
Analyzing behavioral trends in community driven discussion platforms like Reddit. CoRR abs/1809.07087 (2018) - [i4]Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork:
Offline Comparison of Ranking Functions using Randomized Data. CoRR abs/1810.05252 (2018) - [i3]Zhichong Fang, Aman Agarwal, Thorsten Joachims:
Intervention Harvesting for Context-Dependent Examination-Bias Estimation. CoRR abs/1811.01802 (2018) - [i2]Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims:
Estimating Position Bias without Intrusive Interventions. CoRR abs/1812.05161 (2018) - 2017
- [c2]Aman Agarwal, Soumya Basu, Tobias Schnabel, Thorsten Joachims:
Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers. KDD 2017: 687-696 - [i1]Aman Agarwal, Soumya Basu, Tobias Schnabel, Thorsten Joachims:
Effective Evaluation using Logged Bandit Feedback from Multiple Loggers. CoRR abs/1703.06180 (2017) - 2010
- [c1]Aman Agarwal, Vikas Saxena:
Content Based Multimodal Retrieval for Databases of Indian Monuments. IC3 (1) 2010: 446-455
Coauthor Index
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